Abstract
This exploration aims to study the emotion recognition of speech and graphic visualization of expressions of learners under the intelligent learning environment of the Internet. After comparing the performance of several neural network algorithms related to deep learning, an improved convolution neural network-Bi-directional Long Short-Term Memory (CNN-BiLSTM) algorithm is proposed, and a simulation experiment is conducted to verify the performance of this algorithm. The experimental results indicate that the Accuracy of CNN-BiLSTM algorithm reported here reaches 98.75%, which is at least 3.15% higher than that of other algorithms. Besides, the Recall is at least 7.13% higher than that of other algorithms, and the recognition rate is not less than 90%. Evidently, the improved CNN-BiLSTM algorithm can achieve good recognition results, and provide significant experimental reference for research on learners’ emotion recognition and graphic visualization of expressions in an intelligent learning environment.
Highlights
The rapid development of artificial intelligence (AI) (Ustun et al, 2021), big data (Wang J. et al, 2020), and Blockchain technology (Lv et al, 2021a) has changed the social structure, talent demand, as well as the form of social education
The scope of traditional art expression has expanded from oil painting, traditional Chinese painting, printmaking, sculpture, watercolor, etc. to animation art, image art, photoelectric art, etc. through the sketches drawn by artists
The change in technologies has caused the innovation of the learning environment, and the intelligent learning environment with the Internet of Things (IoT) technology as the core has begun to attract extensive attention from people
Summary
The rapid development of artificial intelligence (AI) (Ustun et al, 2021), big data (Wang J. et al, 2020), and Blockchain technology (Lv et al, 2021a) has changed the social structure, talent demand, as well as the form of social education. With the rapid development of information technology, in the internet era, art information and exhibition information around the world can be known by global users in a very short time. The change in technologies has caused the innovation of the learning environment, and the intelligent learning environment with the Internet of Things (IoT) technology as the core has begun to attract extensive attention from people. In the intelligent learning environment, teachers carry out teaching activities online through the Internet, and learners can acquire and learn knowledge through the network. Positive emotions such as happiness and satisfaction generated in the learning
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